Top 10 AI Marketing Examples That Will Help Your Brand Stand Out

While this project is still in its pilot phase, Coca-Cola expects that the Fizzion campaign will lead to faster execution, fewer errors, and stronger brand integrity at scale. This will make marketing in over 200 countries much easier for the design team. 

You can produce personalized AI-powered designs at scale, like Coca-Cola, by incorporating platforms like Adobe and Jasper. 

Adobe Firefly is a generative AI design model, and Adobe Express is an all-in-one AI content creation tool that helps you create on-brand visuals for marketing materials. 

Jasper is another great AI platform for building marketing content that you can explore. In addition to its feature that generates on-brand AI-powered images, the platform also learns your company’s unique brand voice and style to continually create on-brand marketing copy. 

Here’s how to start: 

1. Establish your brand: On your chosen platform, you can train the AI on your company’s visual identity by defining your brand colors, uploading your logos, and selecting your fonts. 
2. Generate on-brand designs: Use text prompts to ask the AI model to create designs and images for your campaign. 
3. Review and refine content: Your marketing and design team can then tweak the content to ensure that it perfectly aligns with your brand’s quality standards. 

This initiative was a major success and allowed Sephora to host its own chatbot-powered shopping service through Facebook Messenger. 

Users also benefited from the campaign because they could accurately choose products that would suit them, boosting customer confidence. 

Do you have a large selection of products or services? Empower customers to make more informed purchase decisions with a chatbot-led shopping service. 

This type of service can help you increase personalization and customer confidence, driving increased sales for your company. 

Looking into WebFX’s Facebook Messenger chatbot marketing services is a great place to start. Facebook Messenger chatbots communicate directly with your audience and help them take the appropriate next steps, creating a personalized experience. 

WebFX takes it a step further by ensuring that the chatbot is specific to your industry, company, and goals, boosting your leads and ROI. 

Here’s how to start: 

1. Define your goal and strategy: Identify your main goal and key insights you want to integrate into the chatbot. Share this information with the WebFX team. 
2. Map the customer journey: Collaborate with WebFX to co-create the chatbot’s logic. You’ll provide the key knowledge, while WebFX will structure that information into an engaging conversational flow that effectively leads users to a solution. 
3. Test and review the chatbot: Before the chatbot goes live, interact with it to review whether it aligns with your vision and brand standards. 

Calm increased its daily app use by 3.4% after training Amazon Personalize with Calm’s data. This was a huge success for the company, considering that the metric included various factors across customer personas, engagement, and retention. 

Calm shows us that another great way to enhance personalization is through incorporating a recommendation engine like Amazon Personalize or Google Cloud Recommendations AI into your website or app. 

Both platforms analyze each user’s individual needs, behavior, and preferences to ensure your website’s visitors get more specific product recommendations, driving engagement and higher conversion rates. 

Here’s how to start: 

1. Integrate your data: Feed the AI-powered tool your customer, product, and content catalog data. 
2. Choose a recommendation recipe: Select the rules for recommending products based on individual users. This could also include adding features like “Customers Also Bought” and “Frequently Viewed Together” to ensure users get the right recommendations. 
3. Launch and test: Place your recommendation widgets on key pages and monitor how they impact user engagement and conversions. 

People chose and watched over 80% of the shows Netflix recommended through its personal recommendations initiative. 

To use this AI marketing example as inspiration for your next AI-powered initiative, be more proactive in personalizing recommendations based on your target audience. 

One of the best ways to use AI in marketing is to ensure the website optimizes user experience and personalization. Doing so will allow your consumers to get the most out of your brand. 

Two AI-powered platforms to explore that help you provide Netflix-level suggestions include: 

• Dynamic Yield: Dynamic Yield personalizes all customer touchpoints and adapts your website’s content, layout, and promotions for each user based on their behavior. 
• Bloomreach: Bloomreach is beneficial for content-heavy and e-commerce websites. The platform re-ranks search results and category pages to show the user the most relevant items first, improving the user experience. 

Here’s how you can start implementing these tools: 

1. Define your goal: Define where you need to improve personalization, whether it’s recommending relevant content or improving on-site search features. 
2. Integrate data: Integrate your audience, historical, and product data with your chosen AI-powered platform. 
3. Incorporate A/B testing: Before launch, consider implementing A/B testing to see which features get more clicks. 

While the campaign is still in its early stages, it is set to pilot in 35 stores in 2026. Starbucks expects that Green Dot Assist will help baristas find quicker solutions to tasks and enhance personalization. 

Ultimately, it will improve the customer experience and encourage potential employees to apply for Starbucks barista positions. 

Implement an AI-powered assistant for your customer-facing employees. Start by brainstorming ways this assistant could streamline specific processes that will improve the customer experience and satisfaction. 

Create a platform or website that your employees can use to source important information. By leveraging WebFX’s AI and GPT integration services, you can integrate a trained AI-powered chatbot that answers questions in real time. 

Here’s how you can start: 

1. Establish the assistant’s core purpose: Identify which pain points you’d like this strategy to address. Decide how you would like the AI assistant to help, whether it should be a knowledge base expert, a troubleshooting guide, or a tool to speed up onboarding and training. 
2. Inform the AI assistant: You’ll then gather all the relevant company information to inform the AI assistant. WebFX will use this information to build and train a secure, custom AI model. 
3. Test and refine the assistant: Test and fine-tune the tool to ensure that it is a user-friendly chatbot interface that your employees can interact with to enhance efficiency and customer service. 

The campaign went viral, and users created over 1.7 million AI-generated images within three weeks. The direct consumer involvement in product development helped create a deeper connection with the brand. 

If you want to implement something similar, consider offering an AI-powered tool that your audience could use to interact with your brand. 

Allow them to participate in the marketing process with AI-generated designs and ideas. This will enable you to form a long-term relationship with your consumers and allow them to feel part of your brand in some way. 

Some powerful tools to choose from include OpenAI’s DALL-E 3 API, Adobe Firefly API, and Stable Diffusion API. You’ll use their Application Programming Interface (API) to build a custom tool on your own website. 

Here are a few steps you can take to do so: 

1. Define the creative concept and goal: Establish what the users will create, what’s in it for the user, and the rules to keep the content on-brand. 
2. Build the campaign: Personalize this tool to your target audience’s interests and ensure that it is simple to use with clearly defined buttons and textboxes. 
3. Integrate the API: Then, integrate the AI image generation API and promote the campaign across marketing channels. Proper implementation will help you spark consumer engagement, emotional connections, and brand visibility. 

Results showed that BuzzFeed’s first AI-powered content module boosted page views by 24%. People are also spending 40% more time on BuzzFeed’s AI quizzes than its human-generated ones. 

BuzzFeed’s personalized AI quizzes teach us the importance of creating emotional connections with consumers. 

Are you looking to implement quizzes that enhance consumer engagement or help them choose better products and services? Typeform presents exciting opportunities to connect with each user on a personal level and streamline that process. 

Typeform integrates AI to help you build engaging quizzes and forms. It pipes your users’ answers into an AI model to generate personalized results. 

Here’s how you can start: 

1. Plan the quiz: Plan your quiz and the possible outcomes you’d like it to have. For example, if you’re a fitness company, you might create a quiz to help potential customers understand which type of personal training workouts they need. Some possible outcomes could include “Strength training,” “Cardio,” “HIIT (High-Intensity Interval Training),” or “Yoga.” 
2. Build an engaging quiz: Build your quiz in Typeform while making it feel like a conversation. Consider adding images, GIFs, and videos that make the quiz more engaging. For example, we could add GIFs of specific exercises for the fitness quiz to enhance the user’s understanding. 
3. Create personalization rules: Your next step is to use “Logic Jumps” in Typeform to create personalization rules. For example, when the user chooses the answer “I want to feel healthier,” you can jump them to a question about how exactly they feel unhealthy. 
4. Set up the quiz outcomes: You’ll then set up the outcomes in Typeform to deliver accurate results based on the user’s answers. For example, answers that suggest a preference for enhanced mobility and flexibility should lead to the “Yoga” result. 

The match broadcast on YouTube gained 1.7 million views and a 1,082% increase in organic views compared to other Nike content. It inspired tennis fans and athletes to work hard and keep evolving. 

While Nike’s campaign was complex, its success came from creating a powerful, narrative-driven campaign. To incorporate something similar, you’ll need a combination of AI-powered tools for data-driven storytelling. 

1. Choose which historic data to highlight: Consider highlighting historical data about your company or industry. Create a compelling narrative that allows viewers to connect with your brand. For example, you could showcase the evolution of a product, design style, or cultural trend related to your brand. 
2. Analyze customer history: Use data analysis platforms like Nutshell to analyze customer history, from purchase to social media interactions. This information will help your marketing team predict the right content and time that will resonate with your audience. 
3. Track trends and evolutions: Social listening tools like Talkwalker and Brandwatch can help you analyze how trends have evolved over time. 
4. Write a compelling ad script: Once you have the data, use a large language model (LLM) like TeamAI to help craft a compelling script collaboratively. To do so, you can feed the tool the “then vs. now” data and ask it to write an inspiring, growth-focused script for a short video. 
5. Create the video ad: Use AI video generation tools like Runway and HeyGen to create your ad and save money on ad production. 

Farfetch gained a 38% increase in average click rates and a 31% surge in open rates, proving that email content personalization can increase engagement. 

Use AI-powered copywriting tools like Jacquard or Grammarly to refine your messaging and test different writing styles. The WebFX exclusive platform, RevenueCloudFX, also optimizes email newsletters. It does so by testing and refining email campaigns using AI-driven insights. 

Here’s how you can use these tools in your next AI-powered email campaign: 

1. Define the goal: Start by choosing one metric you’d like to improve. For example, you could aim to increase the open rate for your weekly newsletter. RevenueCloudFX can help you identify and track improvement areas. 
2. Generate variations: Use Grammarly or Jacquard to craft personalized messaging. Create more than one version with different tones that will resonate with your audience. Have your marketing team edit the draft to ensure it still sounds human. 
3. Use A/B tests and analyze results: Do an A/B test on your email campaign to test the versions on different portions of your audience. For example, you could send out two email newsletters with different subject lines to test which one gains more open rates. You’ll then use the more popular tone in future subject lines. 

If you prefer a done-for-you solution, you could choose an email marketing service provider that uses AI to improve email campaigns. 

The process simply required a few clicks and tweaks, saving the British Council’s team valuable time. It created a 50% more efficient turnaround time and reduced marketing content creation costs by 70%. 

The organization did not need to exceed its budget or overwork its team to create over 1,000 localized ads. At the same time, they did not use a one-size-fits-all approach. Instead, they created tailored ads for each region. 

While you can do what the British Council did and create high-quality localized ads, you don’t have to be a worldwide brand to adopt this strategy. 

If you’re an SMB (small and medium-sized business) with fewer locations, you could adopt this technique by reusing your designs smartly. 

Use AI-powered tools and platforms like Canva, AdCreative.ai, and Celtra to adapt your designs across target audiences, locations, and platforms. 

You can get started by following these steps: 

1. Create your foundation ad creative: Create a strong foundational ad creative that you can use as a base for all variations. The design should include a key visual or image, your brand logo and colors, and a primary headline and call-to-action (CTA). 
2. Define your audience: Define your audience for each variation before generating the variations with your chosen AI tool. This keeps the content and design personal and on-brand, while streamlining processes for your team. 
3. Generate variations: Upload your master design into the AI-powered tool. Depending on your tool, you can either quickly swap out images and text for specific audiences and locations in Canva or generate complete ad designs tailored for different platforms with AdCreative.ai.